Iris Segmentation Based on Black Hole Algorithm for Biometric System
| Autor: | Taujuddin N. S. A. M, Tara Othman Qadir |
|---|---|
| Přispěvatelé: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
| Rok vydání: | 2020 |
| Předmět: |
Environmental Engineering
Biometric system Black Hole Algorithm Biometric Iris recognition Image processing Segmentation business.industry Computer science General Engineering 2249-8958 Computer Science Applications 100.1/ijeat.B21111210220 medicine.anatomical_structure Black hole algorithm medicine Computer vision Segmentation Artificial intelligence Iris (anatomy) business |
| Zdroj: | International Journal of Engineering and Advanced Technology. 10:281-287 |
| ISSN: | 2249-8958 |
| DOI: | 10.35940/ijeat.b2111.1210220 |
| Popis: | Current iris recognition schemes such as IntegroDifferential method, Hough Transform, Watershed Transform Circle Fitting, and Circular Hough Transformation (CHT) are used to find circular parameters between pupil and iris. Segmentation process of an eye image using the circular parameters toextracts the iris region still can be further improved. In this paper, we introduced an optimization method of circular parameters detection for iris segmentation based on Black Hole Algorithm (BHA). The proposed segmentation algorithm utilizes a computational model of the pixels’ value to detect the iris boundary. The BHA searches for center radius of both pupil and iris. The system tests the CASIA Iris Interval V3 database by on MATLAB. The segmented images show an accuracy of 98.3%. In short, the segmentation-based on BHA is efficient to identify the iris for any future access control applications. |
| Databáze: | OpenAIRE |
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